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Course, academic year 2023/2024
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Introduction to Optimisation - NMAN007
Title: Úvod do optimalizace
Guaranteed by: Department of Probability and Mathematical Statistics (32-KPMS)
Faculty: Faculty of Mathematics and Physics
Actual: from 2018
Semester: summer
E-Credits: 5
Hours per week, examination: summer s.:2/2, C+Ex [HT]
Capacity: unlimited
Min. number of students: unlimited
4EU+: no
Virtual mobility / capacity: no
State of the course: cancelled
Language: Czech
Teaching methods: full-time
Teaching methods: full-time
Guarantor: doc. RNDr. Petr Lachout, CSc.
Classification: Mathematics > Optimization
Incompatibility : NEKN012
Interchangeability : NEKN012, NMSA336
Annotation -
This course is focused on both theory and methods for solving basic optimization problems frequently arising in economic, technical and scientific calculations (linear and quadratic programming and some related topics).
Last update: G_I (26.10.2001)
Aim of the course -

To give explanation of standard optimization procedures. Students will practice their knowladge on numerical examples.

Last update: T_KPMS (22.05.2008)
Literature - Czech

Pracovní text přednášky je k dispozici na WWW-stránce doc. Petra Lachouta.

Ján Plesník, Jitka Dupačová, Milan Vlach.: Lineárne programovanie. Alfa, Bratislava, 1990.

Vašek Chvátal: Linear programming. Freeman, New York, 1983.

Dimitri P. Bertsekas: Nonlinear programming. Athena Scientific, Belmont, 1999.

Charamza a kol.: Modelovací systém GAMS, MFF UK, 1993.

Last update: T_KPMS (05.03.2007)
Teaching methods -

Lecture+exercises.

Last update: G_M (27.05.2008)
Syllabus -

1. Motivation. Optimization in real life. Local and global extremes. Convex sets and convex functions.

2. Linear programs. Features of the optimal solutions. Duality and its interpretation.

3. Numerical solution of linear programs. Transportation problem and particular integer programs.

4. Nonlinear programs. Local and global optimality conditions. Quadratic programming. A brief account to numerical algorithms.

Exercises: Developing of mathematical models of real-life problems. Solving of problems, partially in computer room. Practicing of basic experiences.

Last update: T_KPMS (20.05.2003)
 
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